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capa-officer

Manage CAPA workflows with root cause analysis and effectiveness verification.

Updated Mar 7, 2026
Search Tags:#root cause analysis#quality management#qms#iso 13485#capa#fda 21 cfr 820
One-click install
npx skills add https://github.com/tapanshah/Claude-Skills --skill capa-officer-tapanshah
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: capa-officer
Source: https://github.com/tapanshah/Claude-Skills/tree/main/ra-qm-team/capa-officer
Command: npx skills add https://github.com/tapanshah/Claude-Skills --skill capa-officer-tapanshah

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, datetime, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the complex and critical process of managing Corrective and Preventive Actions (CAPA) within a Quality Management System (QMS), ensuring compliance and driving continuous improvement.

Core Features & Use Cases

  • Systematic Investigation: Guides users through root cause analysis using methods like 5 Whys and Fishbone diagrams.
  • Action Planning & Tracking: Facilitates the creation, assignment, and monitoring of corrective and preventive actions.
  • Effectiveness Verification: Provides a framework to verify that implemented actions have resolved the root cause and prevented recurrence.
  • Use Case: A medical device manufacturer identifies a recurring nonconformance. This Skill helps them investigate the root cause, plan corrective actions, track their implementation, and verify their effectiveness to prevent future occurrences and maintain regulatory compliance.

Quick Start

Initiate a CAPA investigation for a recent product nonconformance by following the CAPA Investigation Workflow.

Frequently Asked Questions about capa-officer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage a CAPA process to comply with FDA 21 CFR 820 and ISO 13485?▼

CAPA tracking for quality management uses Python-based scripts with pandas and numpy to manage corrective actions, monitor implementation status, and produce compliance reports for nonconformances.

How do I conduct root cause analysis for a quality management system nonconformance?▼

Root cause analysis for a QMS nonconformance uses structured methodologies like the 5 Whys and Fishbone diagrams. These systematic investigation techniques identify the underlying causes of product defects to plan effective corrective actions.

What is the best way to verify the effectiveness of corrective actions in QMS?▼

Verifying the effectiveness of corrective actions involves checking if implemented measures resolved the root cause and prevented recurrence. A structured verification framework monitors these actions to maintain continuous improvement within a quality management system.

Can I use pandas and numpy for CAPA tracking and reporting?▼

Yes, CAPA tracking and reporting can be performed using Python-based scripts leveraging pandas and numpy. These libraries enable data analysis and structured monitoring of corrective and preventive actions for quality management compliance.

When do I need a formal CAPA investigation workflow for medical device manufacturing?▼

A formal CAPA investigation workflow is needed when a medical device manufacturer identifies a recurring nonconformance. It guides the systematic investigation, action planning, and tracking required to prevent future occurrences and maintain compliance.

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